How to eliminate rework in software localization
AI quality gap can be reduced with human-in-the-loop validation, End-to-end AI localization operating systems are replacing point tools,
Rigi, a new visual software localization platform, is transforming how teams approach localization by eliminating costly rework. By providing translators and reviewers with an interactive preview of the user interface, Rigi allows for real-time validation of translations, ensuring that issues such as layout breaks and incorrect terminology are identified early in the process. This shift from traditional workflows, where teams often work with detached strings, significantly reduces delays and enhances the overall quality of localized products.
The implications for the localization and language services industry are substantial. By integrating Rigi into CI/CD pipelines, teams can work with the latest product versions, minimizing error-prone handoffs and reducing the need for developer involvement. This streamlined approach not only accelerates review cycles but also enhances collaboration among translators, localization managers, and developers, ultimately leading to faster, more predictable releases.
For localization professionals looking to improve efficiency and reduce rework, Rigi offers a compelling solution. I highly recommend exploring the full article to understand how this innovative platform can reshape your localization workflows.
Source: xtm.ai